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Genome-wide Epigenetic Data Facilitate Understanding of Disease Susceptibility Association Studies

Journal

JOURNAL OF BIOLOGICAL CHEMISTRY
Volume 287, Issue 37, Pages 30932-30940

Publisher

AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/jbc.R112.352427

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Funding

  1. National Institutes of Health Grants [R01 DK065806, RC HG005573, U01 HG004695]

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Complex traits such as susceptibility to diseases are determined in part by variants at multiple genetic loci. Genome-wide association studies can identify these loci, but most phenotype-associated variants lie distal to protein-coding regions and are likely involved in regulating gene expression. Understanding how these genetic variants affect complex traits depends on the ability to predict and test the function of the genomic elements harboring them. Community efforts such as the ENCODE Project provide a wealth of data about epigenetic features associated with gene regulation. These data enable the prediction of testable functions for many phenotype-associated variants.

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